Top AI Jobs in Denver & Boulder, CO

The AI Engineer Manager leads the Data and Analytics Engineering team in developing AI solutions, manages client accounts, analyzes data, and fosters team leadership and relationships with clients.

Design and improve user experiences for human-AI systems by conducting research, usability testing, creating personas and prototypes, collaborating with cross-functional teams, analyzing trends, and building client relationships to deliver human-centered design solutions.

As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.

As a GTM AI Engineer, design and execute AI-driven workflows for Superhuman's go-to-market stack, improving automation in sales processes and team collaboration.

The Engineer Principal will lead testing of space flight hardware, guiding a team in spacecraft assembly and launch operations, ensuring rigorous testing procedures and integration.

As a Principal Data Engineer, you will design and implement LLM, AI-powered security data platforms, mentor engineers, and drive the adoption of data solutions across teams.

Design, build, and ship production-grade agentic AI workflows using LangGraph, Temporal, and Pydantic. Implement AI observability with LangFuse, set AI engineering standards (RAG, prompt management, tool-calling), benchmark LLMs, deploy cloud AI (containerization, cost management), and mentor engineers while supporting enterprise SLA, security, and compliance needs.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

Build the execution layer for AI focusing on relational intelligence in natural conversation. Tasks include affect analysis, memory systems integration, prompt engineering, and cloud infrastructure setup.

This role involves defining AI architecture, improving system quality, leading teams, and building production-ready AI systems at Drata.

As a Senior AI Controls Solutions Engineer, you'll operationalize Phaidra's AI solutions for enterprise data center customers, collaborating with teams to model facilities and define product requirements, applying deep knowledge of control systems and AI technologies.

Lead the adoption of data governance by transforming compliance into a rewarding initiative while managing the Governance Center of Excellence and driving training and recognition programs for stakeholders.

The AIT Manager oversees spacecraft integration and test activities, ensuring quality and compliance with program requirements while managing teams and external partners.

Develop large-scale Foundation Models for Autonomous Driving & Robotics, collaborating with teams, optimizing model performance, and mentoring junior members.

As an AI Engineer, you will build and scale AI business applications, focusing on generative AI. Responsibilities include rapid prototyping, applying software engineering best practices, and providing production support.

As a Staff Software Engineer, you'll develop an AI-first platform, design cloud-native APIs, and collaborate on Site Builder experiences with a focus on scalability and quality code.

Lead the development and scaling of the AI Applications Platform, overseeing product vision, R&D, and business strategy for a high-performance team.

The Senior AI Success Manager at Braze drives customer success for AI use cases, collaborates with teams, manages executive relationships, and analyzes results to communicate value.

Lead and conduct mechanistic interpretability and alignment research for security-specialized AI. Develop methods to read model internals, detect misuse signals, design training interventions and evaluation frameworks, publish original research, and recruit and mentor a lean research team.

Lead product for AI Corps: define roadmap, metrics, and platform powering fellow recruitment, matching, deployment, and enterprise L&D. Partner with Earned Revenue, Curriculum, Engineering, and Anthropic to run discovery, experiments, and ship high-quality experiences that scale to enterprise customers.

Contract recruiter to run two intensive 10-week screening waves for an AI fellowship. Review written applications, conduct 30-minute structured interviews, score candidates on a six-competency rubric, manage pipelines in Greenhouse, handle scheduling and no-shows, participate in calibration, and help refine rubric and process. Expected to sustain high volume (≈35 screens/week) and meet SLA timelines across hundreds of candidates.

Own and execute Stream’s organic growth across SEO, AI-search (AEO), and website conversion. Set strategy and run technical SEO, content and off-page authority programs, AEO visibility tracking, A/B and multivariate experiments, and measurement (GTM/GA4). Collaborate with frontend, content, and DevRel to implement changes, instrument tracking, and improve qualified organic traffic, signups, and AI-search citations.

Partner with sales and customers to discover needs, design and build AI + data + workflow proofs-of-concept, run executive workshops and demos, iterate quickly, and create reusable components and best practices while working cross-functionally to deliver scalable AI solutions.

As a Staff Applied AI Scientist, you will design and deploy AI systems using LLMs, improve agent performance, and collaborate with engineering to enhance systems for customer impact.

Lead the design of Zeta Developer Platform's AI-first experience—creating conversational interfaces, scalable design system components, motion-driven interactions, and prototypes. Partner with product and engineering to define AI interaction, explainability, and platform-wide UX patterns that build trust and consistency.